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» Rule-Based Measurement Of Data Quality In Nominal Data
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ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 8 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
ICASSP
2008
IEEE
16 years 19 days ago
AN EM-based probabilistic approach for Acoustic Echo Suppression
This paper introduces a new Acoustic Echo Suppression (AES) algorithm for suppressing the residual echo after the Acoustic Echo Canceller (AEC). By temporally segmenting the frequ...
Nilesh Madhu, Ivan Tashev, Alex Acero
ICDM
2005
IEEE
151views Data Mining» more  ICDM 2005»
15 years 11 months ago
A Framework for Semi-Supervised Learning Based on Subjective and Objective Clustering Criteria
In this paper, we propose a semi-supervised framework for learning a weighted Euclidean subspace, where the best clustering can be achieved. Our approach capitalizes on user-const...
Maria Halkidi, Dimitrios Gunopulos, Nitin Kumar, M...
AAIM
2007
Springer
118views Algorithms» more  AAIM 2007»
15 years 10 months ago
Significance-Driven Graph Clustering
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
Marco Gaertler, Robert Görke, Dorothea Wagner
MIE
2008
119views Healthcare» more  MIE 2008»
15 years 7 months ago
Reliable Personal Health Records
A number of applications based on personal health records (PHRs) are emerging in the field of health care and wellness. PHRs empower patients by giving them control over their heal...
Ton van Deursen, Paul Koster, Milan Petkovic